DETECTING BACTERIAL TAXA FOR PREDICTING ADVERSE PREGNANCY OUTCOMES

• 1. 一种KLF4基因在制备检测和/或减少母鼠不良妊娠结局的产品中的应用 [P] . 中国专利： CN113481290A . 2021-10-08
• 2. 一种氟尿嘧啶不良反应及疗效预测的基因多态性检测试剂盒及其检测方法和应用 [P] . 中国专利： CN113755588A . 2021-12-07
• 3. Detecting bacterial taxa for predicting adverse pregnancy outcomes [P] . 美国专利： US10683557B2 . 2020-06-16

  机译： 检测细菌分类群以预测不良妊娠结局

• 4. DETECTING BACTERIAL TAXA FOR PREDICTING ADVERSE PREGNANCY OUTCOMES [P] . 欧洲知识产权局专利： EP3161167B1 . 2019-11-20

  机译： 检测细菌税以预测不良妊娠结局

• 5. DETECTING BACTERIAL TAXA FOR PREDICTING ADVERSE PREGNANCY OUTCOMES [P] . 日本专利： JP2019068853A . 2019-05-09

  机译： 检测细菌税以预测不良妊娠结局

• 1. Value of increased fetal cardio thoracic ratio in predicting adverse pregnancy outcome in 11-13^(+6)weeks [J] . Yun-Xiang Pan, Hui-Min Wang, Si-Wei An, 海南医科大学学报(英文版) . 2021,第016期
• 2. Untreated Prior Pulmonary Tuberculosis Adversely Affects Pregnancy Outcomes in Infertile Women Undergoing in vitro Fertilization and Embryo Transfer: A Large Retrospective Cohort Study [J] . GAI Xiao Yan, ZHANG Wei Xia, LIU Ping, 生物医学与环境科学（英文版） . 2021,第002期
• 3. Risk Factors for Adverse Pregnancy Outcomes among Zhuang Ethnic Pregnant Women:A Cohort Study in Guangxi,China [J] . Bao-ying FENG, Yang PENG, Jun LIANG, 当代医学科学(英文) . 2021,第002期
• 4. An Early Pregnancy HbA(1c) >= 5.9% (41 mmol/mol) Is Optimal for Detecting Diabetes and Identifies Women at Increased Risk of Adverse Pregnancy Outcomes. Diabetes Care 2014;37:2953-2959 [J] . Anderson H. Bryan, Rezai Shadi, Setlur Anuradha, Diabetes care . 2015,第6期
• 5. An Early Pregnancy HbA(1c) >= 5.9% (41 mmol/mol) Is Optimal for Detecting Diabetes and Identifies Women at Increased Risk of Adverse Pregnancy Outcomes. Diabetes Care 2014;37:2953-2959 [J] . Hughes Ruth C. E., Moore M. Peter, Gullam Joanna E., Diabetes care . 2015,第6期
• 6. An Early Pregnancy HbA(1c) >= 5.9% (41 mmol/mol) Is Optimal for Detecting Diabetes and Identifies Women at Increased Risk of Adverse Pregnancy Outcomes [J] . Obstetrical and gynecological survey . 2015,第3期
• 7. Electronic Medical Record based Machine Learning Methods for Adverse Pregnancy Outcome Prediction [C] . Yuwei Hang, Yan Zhang, Yan Lv, International Conference on Signal Processing Systems . 2020
• 8. The association between maternal use of selective serotonin reuptake inhibitors during pregnancy and adverse pregnancy outcomes. [D] . Taylor, Lockwood Grant. 2010
• 9. Glycated albumin in pregnancy: reference intervals establishment and its predictive value in adverse pregnancy outcomes [O] . Ying Dong, Yanhong Zhai, Jing Wang, 2020
• 10. The predictive value of uterine blood flow in detecting the risk of adverse pregnancy outcome in patients with polycystic ovary syndrome [O] . Amal A. Nouh, Sally M. Shalaby 2011

• 1. Intrahepatic Cholestasis of Pregnancy: Biochemical Predictors of Adverse Perinatal Outcomes [J] . Hui CHEN ,Yuan ZHOU ,Dong-rui DENG . 华中科技大学学报（医学）（英德文版） . 2013,第003期
• 2. Adverse pregnancy outcomes in women with high pre-pregnancy body mass index [J] . Rajin Arora ,Darin Arora ,Jayanton Patumanond . 妇产科期刊（英文） . 2013,第2期
• 3. 生殖道细菌感染对妊娠结局影响的前瞻性研究 [C] . 胡小平 ,杨春艳 ,吴淑燕 . 中华医学会第十次全国妇产科学术会议 . 2012
• 4. 叶酸对细菌脂多糖诱发小鼠不良妊娠结局的保护作用 [A] . 赵梅 . 2013